Evidence map›Paper›PMID 38147627›Full record

ArticleBlood advances2024

Specificity of immunoglobulin high-throughput sequencing minimal residual disease monitoring in non-Hodgkin lymphomas.

Navika D Shukla, Joseph G Schroers-Martin, Brian J Sworder, Karan Raj Kathuria, Stefan K Alig, Matthew J Frank, David B Miklos, Steven Coutre, Maximilian Diehn, Michael S Khodadoust and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Blood advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Navika D ShuklaDivision of Oncology, Department of Medicine, Stanford University, Stanford, CA.
Joseph G Schroers-MartinDivision of Oncology, Department of Medicine, Stanford University, Stanford, CA.
Brian J SworderDivision of Oncology, Department of Medicine, Stanford University, Stanford, CA.
Karan Raj KathuriaDivision of Oncology, Department of Medicine, Stanford University, Stanford, CA.
Stefan K AligDivision of Oncology, Department of Medicine, Stanford University, Stanford, CA.
Matthew J FrankDivision of Blood and Marrow Transplantation and Cellular Therapy, Department of Medicine, Stanford University, Stanford, CA.
David B MiklosDivision of Blood and Marrow Transplantation and Cellular Therapy, Department of Medicine, Stanford University, Stanford, CA.ORCID 0000-0003-0717-4305
Steven CoutreDivision of Hematology, Department of Medicine, Stanford University, Stanford, CA.
Maximilian DiehnDepartment of Radiation Oncology, Stanford University, Stanford, CA.
Michael S KhodadoustDivision of Oncology, Department of Medicine, Stanford University, Stanford, CA.ORCID 0000-0001-9061-7351
Mark RoschewskiLymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD.ORCID 0000-0003-0278-2635
David M KurtzDivision of Oncology, Department of Medicine, Stanford University, Stanford, CA.ORCID 0000-0002-6382-4651
Ash A AlizadehDivision of Oncology, Department of Medicine, Stanford University, Stanford, CA.ORCID 0000-0002-5153-5625

Funding

A Genomic Framework for Molecular Risk Prediction & Individualized Lymphoma TherapyR01CA233975 · NCI · STANFORD UNIVERSITY · PI ALIZADEH, ASH ARASH, DIEHN, MAXIMILIAN · 2019 to 2023
$2.8M
NCI NIH HHS R01 CA233975
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Lymphoma, B-CellLymphoma, Non-HodgkinHigh-Throughput Nucleotide SequencingHumansImmunoglobulinsNeoplasm, ResidualImmunoglobulins

Identifiers

PMID38147627
PMCPMC10847740

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.